End of training
Browse files- README.md +4 -14
- generation_config.json +1 -0
- model.safetensors +1 -1
README.md
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base_model: t5-small
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tags:
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- generated_from_trainer
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metrics:
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- bleu
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model-index:
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- name: my_awesome_opus_books_model
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results: []
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# my_awesome_opus_books_model
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.9866
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- Bleu: 57.2955
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- Gen Len: 3.1405
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 16
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- eval_batch_size:
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices:
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- total_train_batch_size:
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- total_eval_batch_size:
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 2
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
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| No log | 1.0 | 348 | 2.1447 | 50.8861 | 3.1272 |
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| 2.8232 | 2.0 | 696 | 1.9866 | 57.2955 | 3.1405 |
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### Framework versions
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base_model: t5-small
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tags:
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- generated_from_trainer
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model-index:
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- name: my_awesome_opus_books_model
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results: []
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# my_awesome_opus_books_model
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 16
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- eval_batch_size: 8
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 3
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- total_train_batch_size: 48
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- total_eval_batch_size: 24
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 2
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### Training results
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### Framework versions
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generation_config.json
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{
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"decoder_start_token_id": 0,
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"eos_token_id": 1,
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"pad_token_id": 0,
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{
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"_from_model_config": true,
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"decoder_start_token_id": 0,
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"eos_token_id": 1,
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"pad_token_id": 0,
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model.safetensors
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